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A spatial model of cognitive distance in cities / Ed Manley in International journal of geographical information science IJGIS, vol 35 n° 11 (November 2021)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 35 n° 11 (November 2021) . - pp 2316 - 2338 Titre : A spatial model of cognitive distance in cities Type de document : Article/Communication Auteurs : Ed Manley, Auteur ; Gabriele Filomena, Auteur ; Panos Mavros, Auteur Année de publication : 2021 Article en page(s) : pp 2316 - 2338 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] cognition [Termes IGN] distance [Termes IGN] espace euclidien [Termes IGN] espace urbain [Termes IGN] modélisation spatiale [Termes IGN] morphologie urbaine [Termes IGN] perception [Termes IGN] positionnement statique [Termes IGN] représentation mentale spatiale [Termes IGN] système d'information urbain Résumé : (auteur) Spatial cognition is fundamental to the behaviour and activity of humans in urban space. Humans perceive their environments with systematic biases and errors, and act upon these perceptions, which in turn form urban patterns of activity. These perceptions are influenced by a multitude of factors, many of them relating to the static urban form. Yet much of geographic analysis ignores the influence of urban form, instead referring most commonly to the Euclidean arrangement of space. In this paper, we propose a novel spatial modelling framework for estimating cognitive distance in urban space. This framework is constructed from a wealth of research describing the effect of environmental factors on distance estimation, and produces a quantitative estimate of the effect based on standard GIS data. Unlike other cost measures, the cognitive distance estimate integrates systematically observed distortions and biases in spatial cognition. As a proof-of-concept, the framework is implemented for 26 cities worldwide using open data, producing a novel comparative measure of ‘cognitive accessibility’. The paper concludes with a discussion of the potential of this approach in analysing and modelling urban systems, and outlines areas for further research. Numéro de notice : A2021-761 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2021.1887488 Date de publication en ligne : 19/02/2021 En ligne : https://doi.org/10.1080/13658816.2021.1887488 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98790 [article]

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Using mobility data as proxy for measuring urban vitality / Patrizia Sulis in Journal of Spatial Information Science, JoSIS, n° 16 ([01/02/2018])  

Public [article]  inJournal of Spatial Information Science, JoSIS > n° 16 [01/02/2018] . - pp 137 - 162 Titre : Using mobility data as proxy for measuring urban vitality Type de document : Article/Communication Auteurs : Patrizia Sulis, Auteur ; Ed Manley, Auteur ; Chen Zhong, Auteur ; Michael Batty, Auteur Année de publication : 2018 Article en page(s) : pp 137 - 162 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] données localisées [Termes IGN] données massives [Termes IGN] dynamique spatiale [Termes IGN] mobilité humaine [Termes IGN] ville Résumé : (auteur) In this paper, we propose a computational approach to Jane Jacobs' concept of diversity and vitality, analyzing new forms of spatial data to obtain quantitative measurements of urban qualities frequently employed to evaluate places. We use smart card data collected from public transport to calculate a diversity value for each research unit. Diversity is composed of three dynamic attributes: intensity, variability, and consistency, each measuring different temporal variations of mobility flows. We then apply a regression model to establish the relationship between diversity and vitality, using Twitter data as a proxy for human activity in urban space. Final results (also validated using data sourced from OpenStreetMap) unveil which are the most vibrant areas in London. Numéro de notice : A2018-684 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article DOI : 10.5311/JOSIS.2018.16.38 En ligne : https://josis.org/index.php/josis/article/view/92 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98694 [article]

Using mobile phone traces to understand activity and mobility in Dakar, Senegal / Ed Manley (2015) 

Public contenu dans GIS Research UK (GISRUK) 2015 Proceedings / Nick Malleson (2015)   Titre : Using mobile phone traces to understand activity and mobility in Dakar, Senegal Type de document : Article/Communication Auteurs : Ed Manley, Auteur ; Adam Dennett, Auteur ; Michael Batty, Auteur Editeur : Leeds [Royaume-Uni] : University of Leeds Année de publication : 2015 Conférence : GISRUK 2015, 23th GIS Research UK annual conference 15/04/2015 17/04/2015 Leeds Royaume-Uni open access proceedings Importance : pp 387 - 395 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle [Termes IGN] Dakar (Sénégal) [Termes IGN] distribution spatiale [Termes IGN] données massives [Termes IGN] mobilité urbaine [Termes IGN] pays en développement [Termes IGN] téléphone intelligent [Termes IGN] trace GPS [Vedettes matières IGN] Géovisualisation Résumé : (auteur) With the emergence of mobile phone trace datasets, new opportunities have arisen for improving the understanding large-scale mobility behaviours. The potential impact of these insight derived from these data is no more significant than in the developing country context, where existing data collection infrastructure is limited or non-existent. In this research, mobile phone data for Dakar, Senegal is used to better understand urban activity and mobility dynamics. To achieve this, a clustering method is introduced that extracts the spatial distribution, and the temporal characteristics, of the activities of individual mobile phone users. With this classification of individual locations of activity, citywide trends in activity and mobility over time are derived. The paper concludes in discussing the potential and limitations of this approach, and the outlook for associated analyses that employ mobile phone trace data. Numéro de notice : C2015-051 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83865

Documents numériques

en open access Using mobile phone traces Adobe Acrobat PDF